How do I get gvarbrowser to display only data.frame named, say "atab1" or
"atab2" or "atab*"?
Also, how do I turn off the selection pull down box?
#I tried:
mydefaultclasses <- list("Data sets1"=c("data.frame") )
# ----
# Then
v <- gvarbrowser( container =gwindow("Object broser"),
gWidgets:gvarbrowser_classes=mydefaultclasses )
#--
# but it does not seem to work
#I also tried:
options("gWidgets:gvarbrowser_classes"=mydefaultclasses)
#then
v <- gvarbrowser( container =gwindow("Object broser"))
#this too did not work
#I would simply like to display the variable browser window for data.frame
"atab1" (say).
Thank you
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Odp: Object Browser
3 messages · wampeh, Liviu Andronic, j verzani
On Fri, Nov 23, 2012 at 6:44 AM, wampeh <wampeh at gmail.com> wrote:
How do I get gvarbrowser to display only data.frame named, say "atab1" or "atab2" or "atab*"? Also, how do I turn off the selection pull down box?
Two remarks. If you hope to get an answer it would be a good idea to CC John Verzani, maintainer of gWidgets. Give RStudio a try as it comes with a built-in object browser. Liviu
#I tried:
mydefaultclasses <- list("Data sets1"=c("data.frame") )
# ----
# Then
v <- gvarbrowser( container =gwindow("Object broser"),
gWidgets:gvarbrowser_classes=mydefaultclasses )
#--
# but it does not seem to work
#I also tried:
options("gWidgets:gvarbrowser_classes"=mydefaultclasses)
#then
v <- gvarbrowser( container =gwindow("Object broser"))
#this too did not work
#I would simply like to display the variable browser window for data.frame
"atab1" (say).
Thank you
--
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If gvarbrowser isn't quite to your liking, it isn't so hard to build your own
variable browser. This uses a slight modification of Petr's function and
wraps in a gWidgets interface. Modify his function to display what info you
want and add a handler to the tbl object to have some action associated with
a user selection:
ls.objects <- function (pos = 1, pattern, order.by)
{
napply <- function(names, fn) sapply(names, function(x) fn(get(x,
pos = pos)))
names <- ls(pos = pos, pattern = pattern)
obj.class <- napply(names, function(x) as.character(class(x))[1])
obj.mode <- napply(names, mode)
obj.type <- ifelse(is.na(obj.class), obj.mode, obj.class)
obj.size <- napply(names, object.size)
# obj.dim <- t(napply(names, function(x) as.numeric(dim(x))[1:2]))
# vec <- is.na(obj.dim)[, 1] & (obj.type != "function")
# obj.dim[vec, 1] <- napply(names, length)[vec]
out <- data.frame(names, obj.type, obj.size, stringsAsFactors=FALSE)#,
obj.dim)
names(out) <- c("Name", "Type", "Size")#, "Rows", "Columns")
if (!missing(order.by))
out <- out[order(out[[order.by]]), ]
out
}
library(gWidgets)
options(guiToolkit="RGtk2")
w <- gwindow()
g <- ggroup(cont=w, horizontal=FALSE)
bg <- ggroup(cont=g)
glabel("Pattern:", cont=bg)
flt <- gedit("", cont=bg, expand=TRUE)
tbl <- gtable(ls.objects(), cont=g, expand=TRUE)
bg <- ggroup(cont=g)
addSpring(bg)
ref <- gbutton("refresh", cont=bg)
update_gui <- function(...) {
pat <- svalue(flt)
tbl[] <- ls.objects(pattern=pat)
TRUE # for task callback
}
lapply(list(flt, ref), addHandlerChanged, handler=update_gui)
This will refresh when the user updates the pattern to filter by or the
refresh button.
One can have it refresh when the global environment changes by adding a task
callback:
addTaskCallback(update_gui)
But this can slow things up if the workspace is large. The RStudio object
browser has a very fast way to see if there are changes to the objects it is
monitoring but this is done in C++ code.
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